Credit Model Validation Manager (Machine Learning & NPV Models)

Monzo is hiring a Credit Model Validation Manager for its second line of defence team, with a focus on the models that drive customer-level lending decisions. This includes underwriting scorecards, origination PD models and Net Present Value (NPV) or unit economics models used across all of Monzo's lending products.

The team provides independent challenge to model developers so that Monzo can grow its lending safely and its models produce good outcomes for customers.

What you would do:

• Lead hands-on validation of machine learning, decision science and NPV models used in credit decisioning
• Support validation of wider credit risk models such as IFRS 9, stress testing and economic response models
• Review ongoing model performance monitoring against risk thresholds
• Build challenger models and run statistical analysis to test assumptions
• Help improve the Model Risk Framework and lead the use of AI tools in validation
• Write reports and present findings at committees

What they ask for:

• Hands-on experience in credit model development or validation in financial services, especially machine learning or statistical decisioning models
• Practical Python experience with ML and statistical models, plus strong SQL
• An understanding of how models are used in real-time lending decisions
• Clear written and verbal communication and strong stakeholder relationships

Tableau or Looker experience is a plus. Interviews run in up to four stages online. The role can be based in London or remotely within the UK, with occasional London meetings. Monzo states pay of £79,000 to £93,000 plus performance-linked incentive awards, flexible hours, a £1,000 yearly learning budget and home working setup. The advert will close once enough applications are received.

Apply directly on Monzo's website using the button on this page.